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575 lines
13 KiB
Markdown
575 lines
13 KiB
Markdown
# @claude-flow/providers
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[](https://www.npmjs.com/package/@claude-flow/providers)
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[](https://www.npmjs.com/package/@claude-flow/providers)
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[](https://opensource.org/licenses/MIT)
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[](https://www.typescriptlang.org/)
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[](https://github.com/ruvnet/claude-flow)
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> Multi-LLM Provider System for Claude Flow V3 - unified interface for Anthropic, OpenAI, Google, Cohere, Ollama, and RuVector with intelligent load balancing, automatic failover, and cost optimization.
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## Features
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- **6+ LLM Providers** - Anthropic, OpenAI, Google, Cohere, Ollama, RuVector
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- **Load Balancing** - Round-robin, latency-based, least-loaded, cost-based strategies
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- **Automatic Failover** - Seamless provider switching on failures
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- **Request Caching** - LRU cache with configurable TTL
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- **Cost Optimization** - Up to 85%+ savings with intelligent routing
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- **Streaming Support** - Full streaming for all providers
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- **Tool Calling** - Unified tool/function calling interface
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- **Health Monitoring** - Real-time provider health checks
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- **Cost Tracking** - Per-request and aggregate cost metrics
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## Supported Providers & Models
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### Anthropic (Claude)
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- `claude-3-5-sonnet-20241022`, `claude-3-5-sonnet-latest`
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- `claude-3-opus-20240229`
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- `claude-3-sonnet-20240229`
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- `claude-3-haiku-20240307`
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### OpenAI (GPT)
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- `gpt-4o`, `gpt-4o-mini`
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- `gpt-4-turbo`, `gpt-4`
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- `gpt-3.5-turbo`
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- `o1-preview`, `o1-mini`, `o3-mini`
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### Google (Gemini)
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- `gemini-2.0-flash`
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- `gemini-1.5-pro`, `gemini-1.5-flash`
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- `gemini-pro`
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### Cohere
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- `command-r-plus`, `command-r`
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- `command-light`, `command`
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### Ollama (Local)
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- `llama3.2`, `llama3.1`
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- `mistral`, `mixtral`
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- `codellama`, `phi-4`
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- `deepseek-coder`
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### RuVector
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- Custom models via @ruvector/ruvllm
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## Installation
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```bash
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npm install @claude-flow/providers
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```
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## Quick Start
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```typescript
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import { createProviderManager } from '@claude-flow/providers';
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// Create provider manager with multiple providers
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const manager = await createProviderManager({
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providers: [
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{
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provider: 'anthropic',
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apiKey: process.env.ANTHROPIC_API_KEY!,
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model: 'claude-3-5-sonnet-latest',
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},
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{
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provider: 'openai',
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apiKey: process.env.OPENAI_API_KEY!,
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model: 'gpt-4o',
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},
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],
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loadBalancing: {
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enabled: true,
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strategy: 'cost-based',
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},
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fallback: {
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enabled: true,
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maxAttempts: 2,
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},
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cache: {
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enabled: true,
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ttl: 300000,
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maxSize: 1000,
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},
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});
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// Make a completion request
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const response = await manager.complete({
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messages: [
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{ role: 'user', content: 'Hello, how are you?' }
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],
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maxTokens: 100,
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});
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console.log('Response:', response.content);
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console.log('Provider:', response.provider);
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console.log('Cost:', response.cost?.totalCost);
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```
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## API Reference
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### ProviderManager
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```typescript
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import { ProviderManager, createProviderManager } from '@claude-flow/providers';
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// Create and initialize
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const manager = await createProviderManager(config);
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// Or manually initialize
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const manager = new ProviderManager(config);
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await manager.initialize();
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```
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#### Methods
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```typescript
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// Complete a request
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const response = await manager.complete(request, preferredProvider?);
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// Stream completion
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for await (const event of manager.streamComplete(request, preferredProvider?)) {
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if (event.type === 'content') {
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process.stdout.write(event.delta?.content || '');
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}
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}
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// Health check all providers
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const health = await manager.healthCheck();
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health.forEach((result, provider) => {
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console.log(`${provider}: ${result.healthy ? 'OK' : 'FAIL'}`);
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});
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// Estimate costs across providers
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const estimates = await manager.estimateCost(request);
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estimates.forEach((estimate, provider) => {
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console.log(`${provider}: $${estimate.estimatedCost.total.toFixed(4)}`);
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});
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// Get aggregated usage
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const usage = await manager.getUsage('day');
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console.log(`Total cost: $${usage.cost.total}`);
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// Get provider metrics
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const metrics = manager.getMetrics();
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metrics.forEach((m, provider) => {
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console.log(`${provider}: ${m.latency}ms avg, ${m.errorRate * 100}% errors`);
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});
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// List available providers
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const providers = manager.listProviders();
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// Get specific provider
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const anthropic = manager.getProvider('anthropic');
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// Clear cache
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manager.clearCache();
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// Shutdown
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manager.destroy();
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```
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### Individual Providers
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```typescript
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import {
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AnthropicProvider,
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OpenAIProvider,
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GoogleProvider,
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CohereProvider,
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OllamaProvider,
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RuVectorProvider,
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} from '@claude-flow/providers';
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// Create provider directly
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const anthropic = new AnthropicProvider({
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config: {
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provider: 'anthropic',
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apiKey: process.env.ANTHROPIC_API_KEY!,
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model: 'claude-3-5-sonnet-latest',
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temperature: 0.7,
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maxTokens: 1000,
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},
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});
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await anthropic.initialize();
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const response = await anthropic.complete({
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messages: [{ role: 'user', content: 'Hello!' }],
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});
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// Stream response
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for await (const event of anthropic.streamComplete({
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messages: [{ role: 'user', content: 'Tell me a story' }],
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})) {
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if (event.type === 'content') {
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process.stdout.write(event.delta?.content || '');
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}
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}
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```
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### Load Balancing Strategies
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```typescript
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const manager = await createProviderManager({
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providers: [...],
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loadBalancing: {
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enabled: true,
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strategy: 'round-robin', // or 'least-loaded', 'latency-based', 'cost-based'
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},
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});
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```
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| Strategy | Description | Best For |
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|----------|-------------|----------|
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| `round-robin` | Rotate through providers | Even distribution |
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| `least-loaded` | Use provider with lowest load | High throughput |
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| `latency-based` | Use fastest provider | Low latency |
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| `cost-based` | Use cheapest provider | Cost optimization |
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### Automatic Failover
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```typescript
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const manager = await createProviderManager({
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providers: [...],
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fallback: {
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enabled: true,
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maxAttempts: 3, // Try up to 3 providers
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},
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});
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// Events for monitoring
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manager.on('fallback_success', ({ originalProvider, fallbackProvider, attempts }) => {
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console.log(`Fallback from ${originalProvider} to ${fallbackProvider}`);
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});
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manager.on('fallback_exhausted', ({ originalProvider, attempts }) => {
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console.error(`All ${attempts} fallback attempts failed`);
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});
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```
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### Request Caching
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```typescript
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const manager = await createProviderManager({
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providers: [...],
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cache: {
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enabled: true,
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ttl: 300000, // 5 minutes
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maxSize: 1000, // Max cached responses
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},
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});
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// Cache is keyed by: messages + model + temperature + maxTokens
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// Identical requests return cached responses
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// Clear cache when needed
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manager.clearCache();
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```
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### Cost Optimization
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```typescript
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const manager = await createProviderManager({
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providers: [...],
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costOptimization: {
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enabled: true,
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maxCostPerRequest: 0.10, // Max $0.10 per request
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},
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});
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// Request with cost constraints
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const response = await manager.complete({
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messages: [...],
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costConstraints: {
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maxCost: 0.05,
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preferredModels: ['gpt-4o-mini', 'claude-3-haiku-20240307'],
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},
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});
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// Get cost breakdown
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console.log('Cost:', {
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prompt: response.cost?.promptCost,
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completion: response.cost?.completionCost,
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total: response.cost?.totalCost,
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currency: response.cost?.currency,
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});
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```
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### Tool Calling
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```typescript
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const response = await manager.complete({
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messages: [
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{ role: 'user', content: 'What is the weather in San Francisco?' }
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],
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tools: [
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{
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type: 'function',
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function: {
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name: 'get_weather',
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description: 'Get weather for a location',
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parameters: {
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type: 'object',
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properties: {
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location: { type: 'string', description: 'City name' },
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unit: { type: 'string', enum: ['celsius', 'fahrenheit'] },
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},
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required: ['location'],
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},
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},
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},
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],
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toolChoice: 'auto',
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});
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// Check for tool calls
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if (response.toolCalls) {
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for (const call of response.toolCalls) {
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console.log('Tool:', call.function.name);
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console.log('Args:', JSON.parse(call.function.arguments));
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}
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}
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```
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### Streaming
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```typescript
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// Async iterator streaming
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for await (const event of manager.streamComplete(request)) {
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switch (event.type) {
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|
case 'content':
|
|
process.stdout.write(event.delta?.content || '');
|
|
break;
|
|
case 'tool_call':
|
|
console.log('Tool call:', event.delta?.toolCall);
|
|
break;
|
|
case 'error':
|
|
console.error('Error:', event.error);
|
|
break;
|
|
case 'done':
|
|
console.log('\nUsage:', event.usage);
|
|
console.log('Cost:', event.cost);
|
|
break;
|
|
}
|
|
}
|
|
```
|
|
|
|
### Multimodal (Vision/Audio)
|
|
|
|
```typescript
|
|
// Image input (OpenAI, Anthropic, Google)
|
|
const response = await manager.complete({
|
|
messages: [
|
|
{
|
|
role: 'user',
|
|
content: [
|
|
{ type: 'text', text: 'What is in this image?' },
|
|
{ type: 'image', imageUrl: 'https://example.com/image.jpg' },
|
|
// or imageBase64: 'base64-encoded-image'
|
|
],
|
|
},
|
|
],
|
|
});
|
|
```
|
|
|
|
## TypeScript Types
|
|
|
|
```typescript
|
|
import type {
|
|
// Provider types
|
|
LLMProvider,
|
|
LLMModel,
|
|
LLMProviderConfig,
|
|
ILLMProvider,
|
|
ProviderCapabilities,
|
|
|
|
// Message types
|
|
LLMMessage,
|
|
LLMContentPart,
|
|
LLMToolCall,
|
|
LLMTool,
|
|
|
|
// Request/Response
|
|
LLMRequest,
|
|
LLMResponse,
|
|
LLMStreamEvent,
|
|
|
|
// Manager types
|
|
ProviderManagerConfig,
|
|
LoadBalancingStrategy,
|
|
|
|
// Status types
|
|
HealthCheckResult,
|
|
ProviderStatus,
|
|
CostEstimate,
|
|
UsageStats,
|
|
|
|
// Error types
|
|
LLMProviderError,
|
|
RateLimitError,
|
|
AuthenticationError,
|
|
ModelNotFoundError,
|
|
ProviderUnavailableError,
|
|
} from '@claude-flow/providers';
|
|
```
|
|
|
|
## Error Handling
|
|
|
|
```typescript
|
|
import {
|
|
LLMProviderError,
|
|
RateLimitError,
|
|
AuthenticationError,
|
|
isLLMProviderError,
|
|
isRateLimitError,
|
|
} from '@claude-flow/providers';
|
|
|
|
try {
|
|
const response = await manager.complete(request);
|
|
} catch (error) {
|
|
if (isRateLimitError(error)) {
|
|
console.log(`Rate limited. Retry after: ${error.retryAfter}ms`);
|
|
} else if (isLLMProviderError(error)) {
|
|
console.log(`Provider error: ${error.code}`);
|
|
console.log(`Retryable: ${error.retryable}`);
|
|
}
|
|
}
|
|
```
|
|
|
|
### Error Types
|
|
|
|
| Error | Code | HTTP | Retryable |
|
|
|-------|------|------|-----------|
|
|
| `RateLimitError` | `RATE_LIMIT` | 429 | Yes |
|
|
| `AuthenticationError` | `AUTHENTICATION` | 401 | No |
|
|
| `ModelNotFoundError` | `MODEL_NOT_FOUND` | 404 | No |
|
|
| `ProviderUnavailableError` | `PROVIDER_UNAVAILABLE` | 503 | Yes |
|
|
|
|
## Environment Variables
|
|
|
|
```bash
|
|
# API Keys
|
|
ANTHROPIC_API_KEY=sk-ant-...
|
|
OPENAI_API_KEY=sk-...
|
|
GOOGLE_API_KEY=...
|
|
COHERE_API_KEY=...
|
|
|
|
# Ollama (local)
|
|
OLLAMA_BASE_URL=http://localhost:11434
|
|
|
|
# Optional overrides
|
|
ANTHROPIC_BASE_URL=https://api.anthropic.com
|
|
OPENAI_BASE_URL=https://api.openai.com/v1
|
|
```
|
|
|
|
## Provider Configuration
|
|
|
|
### Anthropic
|
|
|
|
```typescript
|
|
{
|
|
provider: 'anthropic',
|
|
apiKey: process.env.ANTHROPIC_API_KEY!,
|
|
model: 'claude-3-5-sonnet-latest',
|
|
temperature: 0.7,
|
|
maxTokens: 4096,
|
|
timeout: 60000,
|
|
retryAttempts: 3,
|
|
}
|
|
```
|
|
|
|
### OpenAI
|
|
|
|
```typescript
|
|
{
|
|
provider: 'openai',
|
|
apiKey: process.env.OPENAI_API_KEY!,
|
|
model: 'gpt-4o',
|
|
temperature: 0.7,
|
|
maxTokens: 4096,
|
|
frequencyPenalty: 0,
|
|
presencePenalty: 0,
|
|
}
|
|
```
|
|
|
|
### Google
|
|
|
|
```typescript
|
|
{
|
|
provider: 'google',
|
|
apiKey: process.env.GOOGLE_API_KEY!,
|
|
model: 'gemini-1.5-pro',
|
|
temperature: 0.7,
|
|
maxTokens: 8192,
|
|
topK: 40,
|
|
}
|
|
```
|
|
|
|
### Cohere
|
|
|
|
```typescript
|
|
{
|
|
provider: 'cohere',
|
|
apiKey: process.env.COHERE_API_KEY!,
|
|
model: 'command-r-plus',
|
|
temperature: 0.7,
|
|
maxTokens: 4000,
|
|
}
|
|
```
|
|
|
|
### Ollama (Local)
|
|
|
|
```typescript
|
|
{
|
|
provider: 'ollama',
|
|
apiUrl: 'http://localhost:11434',
|
|
model: 'llama3.2',
|
|
temperature: 0.7,
|
|
maxTokens: 4096,
|
|
}
|
|
```
|
|
|
|
## Performance
|
|
|
|
| Metric | Target |
|
|
|--------|--------|
|
|
| Provider initialization | <500ms |
|
|
| Request routing | <5ms |
|
|
| Cache lookup | <1ms |
|
|
| Health check | <2s |
|
|
|
|
## Integration with Claude Flow
|
|
|
|
```typescript
|
|
import { createProviderManager } from '@claude-flow/providers';
|
|
import { createUnifiedSwarmCoordinator } from '@claude-flow/swarm';
|
|
|
|
// Create provider manager
|
|
const providers = await createProviderManager({
|
|
providers: [
|
|
{ provider: 'anthropic', apiKey: '...', model: 'claude-3-5-sonnet-latest' },
|
|
{ provider: 'openai', apiKey: '...', model: 'gpt-4o' },
|
|
],
|
|
loadBalancing: { enabled: true, strategy: 'cost-based' },
|
|
});
|
|
|
|
// Use with swarm coordinator
|
|
const coordinator = createUnifiedSwarmCoordinator({
|
|
// Agents can use provider manager for LLM calls
|
|
extensions: {
|
|
providers,
|
|
},
|
|
});
|
|
```
|
|
|
|
## Related Packages
|
|
|
|
- [@claude-flow/embeddings](../embeddings) - Embedding generation
|
|
- [@claude-flow/memory](../memory) - Vector storage and retrieval
|
|
- [@claude-flow/swarm](../swarm) - Multi-agent coordination
|
|
- [@claude-flow/neural](../neural) - SONA learning integration
|
|
|
|
## License
|
|
|
|
MIT
|